Overview

Data Platform Engineer – Luton/Hybrid

As part of easyJet, you will join a team of data specialists to support a data-driven transformation. The role focuses on building frameworks and tooling for data engineers, analysts and scientists to enable platform users to deliver value through data, experimentation and innovation.

Job Accountabilities

• Support the business in harnessing the power of data within easyJet.
• Work in a fast-paced agile scrum environment with a "release within sprint mentality".
• Be responsible for building and maintaining deployment frameworks.
• Build best practice and continuously improve processes and core code bases.
• Collaborate with Data Engineers to conform to/define patterns and standards.
• Work with Business Analysts to deliver against requirements and realise business benefits.
• Coordinate with a mixed team of onshore and offshore resources to maintain consistent standards and frameworks.

Requirements of the Role

Key Skills Required

• Technical ability with current technical competence in relevant technologies; able to independently learn new technologies as the stack evolves.
• Ability to design and implement data pipelines that support machine learning models, analytical dashboards and experimental frameworks.
• Clear communication for technical and non-technical audiences.
• Strong problem-solving ability; organised, process-driven and outcome-oriented with the ability to leverage past experiences for future innovations.
• Passion for data; hands-on and eager to learn new technologies in the data field.

Technical Skills Required

• Hands-on software development with Python and modern release engineering practices (e.g., TDD, CI/CD).
• Experience with Apache Spark or other distributed data programming frameworks.
• Proficient in SQL and debugging on cloud warehouses like Databricks SQL or Snowflake.
• Experience with cloud infrastructure (AWS or Azure).
• Experience with Linux and containerisation (e.g., Docker, shell scripting).
• Understanding of data modelling and data cataloguing principles.
• Understanding of data management (security and data privacy) and how to apply it to data engineering (e.g., access management, GDPR).
• Experience with CI/CD tools, particularly GitHub Actions.
• Hands-on IaC development with Terraform or CloudFormation.

Desirable Skills

• Experience in airlines, e-commerce or retail industries.
• Experience in event-driven architecture, real-time data ingestion with Spark Streaming, Kafka, DLT or Beam.
• Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts for trustworthy data.
• Experience building a data transformation framework with dbt.
• Familiarity with Databricks as a data and AI platform or Lakehouse Architecture.

What you'll get in return

• Competitive base salary
• Up to 20% bonus
• 25 days holiday
• BAYE, SAYE & Performance share schemes
• 7% pension
• Life Insurance
• Work Away Scheme
• Flexible benefits package
• Excellent staff travel benefits

About easyJet

At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe\'s best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. We are a diverse, inclusive organisation that supports the needs of all employees.

Apply

Complete your application on our careers site. We encourage individuality and lifelong learning, and we are committed to building a diverse and inclusive organisation that supports the needs of all. Reasonable adjustments at interview through to employment will be provided for candidates as needed.